What is Machine Learning?

Imagine a future where computers don’t just follow orders - they think, adapt, and learn from their mistakes. Well, guess ...
InfoQ

Why Most Machine Learning Projects Fail to Reach Production

Most ML projects fail to reach production. Five recurring pitfalls drive failures in ML projects: choosing the wrong problem, data quality/labeling issues, the model-to-product gap, offline-online ...
National Academies of Sciences%2c Engineering%2c and Medicine

Machine Learning for Safety-Critical Applications: Opportunities, Challenges, and a Research Agenda

This activity was supported by a contract between the National Academy of Sciences and Open Philanthropy. Any opinions, findings, conclusions, or recommendations expressed in this publication do not ...
National Academies of Sciences%2c Engineering%2c and Medicine

Machine Learning and Artificial Intelligence to Advance Earth System Science: Opportunities and Challenges – A Workshop

The National Academies will hold a workshop on the opportunities and challenges, including the ethical development and use, of using machine learning and artificial intelligence (ML/AI) to advance ...
EurekAlert!

Algorithms for sustainable and collaborative machine learning: ERC Consolidator Grant for CISPA-faculty Dr. Sebastian Stich

Data constantly changes. For instance, the name of the current German Chancellor can change faster than expected. Machine learning models must adapt to new knowledge and continually improve their ...